When to Boost: How Dose Timing Determines the Epidemic Threshold
Authors/Creators
Description
The repository contains code and data used in the paper When to Boost: How Dose Timing Determines the Epidemic Threshold.
Abstract
Most vaccines require multiple doses, the first to induce recognition and antibody production and subsequent doses to boost the primary response and achieve optimal protection. We show that properly prioritizing the administration of first and second doses can shift the epidemic threshold, separating the disease--free from the endemic state and potentially preventing widespread outbreaks. Assuming homogeneous mixing, we prove that at a low vaccination rate, the best strategy is to give absolute priority to first doses. In contrast, for high vaccination rates, we propose a scheduling that outperforms a first--come first--served approach. We identify the threshold that separates these two scenarios and derive the optimal prioritization scheme and inter--dose interval. Agent--based simulations on real and synthetic contact networks validate our findings. We provide specific guidelines for effective resource allocation, showing that adjusting the timing between primer and booster significantly impacts epidemic outcomes and can determine whether the disease persists or disappears.
Files
alecel/When-to-Boost-How-Dose-Timing-Determines-the-Epidemic-Threshold-V.0.zip
Files
(129.9 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:db5bdd8b60f6ef37391f923d058cdca6
|
129.9 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/alecel/When-to-Boost-How-Dose-Timing-Determines-the-Epidemic-Threshold/tree/V.0 (URL)
Software
- Repository URL
- https://github.com/alecel/When-to-Boost-How-Dose-Timing-Determines-the-Epidemic-Threshold
- Programming language
- Python
- Development Status
- Active